Reading and Understanding Multivariate Statistics [Kindle Edition]
Author: Laurence G. Grimm Paul R. Yarnold | Language: English | ISBN: B004X29962 | Format: PDF, EPUB
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Reading and Understanding Multivariate Statistics helps researchers, students, and other readers of research to understand the purpose and presentation of multivariate techniques. The editors focus on providing a conceptual understanding of the meaning of the statistics in the context of the research questions and results; they leave the subject of how to perform multivariate analysis to other texts.
The book presents an overview of multivariate statistics and their place in research. It describes the appropriate context for—and the types of empirical questions that can best be addressed by—each technique or family of techniques, as well as the distribution assumptions that must be met for the analysis to be meaningful.
The most commonly used multivariate techniques are examined in detail:
- multiple regression and correlation
- path analysis
- principal-components analysis
- exploratory and confirmatory factor analysis
- multidimensional scaling
- analysis of cross-classified data
- logistic regression
- multivariate analysis of variance (MANOVA)
- discriminant analysis
- meta-analysis
Statistical notations are explained, underlying assumptions are described, and terms are defined clearly and understandably. Concepts and symbols are presented with minimal use of formulas and a generous use of real-world research examples. Each chapter also includes suggestions for additional reading and a glossary of statistical and related terms.
Reading and Understanding Multivariate Statistics is an ideal companion to any multivariate research text for performing these analyses, so in addition to research consumers it will be helpful to students and investigators learning to use a particular analysis for the first time.
Download latest books on mediafire and other links compilation Reading and Understanding Multivariate Statistics- File Size: 4974 KB
- Print Length: 373 pages
- Publisher: American Psychological Association; 1 edition (December 15, 1994)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B004X29962
- Text-to-Speech: Enabled
- Lending: Not Enabled
- Amazon Best Sellers Rank: #563,849 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #52 in Kindle Store > Kindle eBooks > Health, Fitness & Dieting > Psychology & Counseling > Statistics
As someone who has tried to teach multivariate statistics to non-statistician graduate students for the past 5 years, I have found this to be a very valuable and clearly-written text. As advertised and as the previous reviewer noted, the text is largely free of complex statistical equations and instead has clear descriptions of each type of test as well as common applications of that test. It is a perfect introduction for students who are intimidated by numbers and equations yet need to know about multivariate statistics for their graduate studies.By J. A. Swartz
The book has several weaknesses that I found require supplementing with other texts. For one, there is no tie-in with major computerized statistical applications like SPSS and SAS nor are there example exercises for students to run and interpret statistical tests for themselves. I have found such exercises to be invaluable in teaching the meaning and uses of multivariate tests. There also should have been a discussion of general issues that cut across the different multivariate tests such as data cleaning, data transformation, the role of correlation matrices and the like and so on. For coverage of these issues, I have found it helpful to use chapters from Tabachnik and Fidel's Using Multivariate Statistics text. Finally, a number of tests, such as survival analysis are not covered in this text, though a second volume by the same authors does cover survival analysis as well as other techniques and should be considered as a companion volume as well.
In sum, this is an excellent and unusually clearly written text that is ideal for non-statistician graduate students in the social sciences. More in-depth analysis of important issues related to multivariate statistics and classroom exercises using statistical computer applications requires augmenting this text with additional readings.
The book is an overview of a variety of multivariate statistical techniques. The book is geared as a companion to a heavy duty stats textbook, with the purpose of providing conceptual discussions of each of the techniques. And it succeeds brilliantly. The authors of each chapter treat the topic statistic with very little, if any Greek, plenty of concrete examples, and clearly delineate the assumptions of the statistical procedure, when it is appropriate and inappropriate to use the procedure, and how to interpret the results of the analysis. If what you want is simply to get a good, practical, conceptual understanding of a statistical procedure and its uses, without any of the theoretical, mathematical derivations, this is the book for you!! This book literally saved my grade in my multivariate stats class. No grad student should be without this.By A Customer
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